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Metrics

Purpose

The purpose of including secondary metrics in the CANRNI maps is to provide additional objective information that highlights needs across the state to inform programmatic footprint discussions.

Criteria for Metrics

Databases selected must provide metrics that credible, relevant to the work of UC ANR, publicly available, include county level data that can be mapped, and are regularly updated.

Process

Former Vice Provost of Strategic Initiatives and Statewide Programs Mark Bell brainstormed with UC ANR Statewide Program/Institute Directors and a group of interested County Directors to draft an initial list of ideas (see pages 4-12). From there we worked with the Strategic Initiative Leaders to narrow the list based on the criteria above and as needed add any other better databases and metrics. The Strategic Initiative Leaders provided and solicited feedback from colleagues on the secondary data layers for the CANRNI maps project. This project will continue to engage our academics to add and refine metrics.

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Data Sources

CalFire FRAP

  • The data comes from the state of California’s Department of Forestry and Fire Protection’s Fire and Resource Assessment Program (FRAP).
  • It provides high-quality spatial data and critical information on the health and risk factors associated with forest and range lands within the state.

Census of Agriculture

  • The data is collected by the USDA National Agricultural Statistics Service every 5 years. The current data being used is from 2017; the next update will be for 2022.
  • It is the only source of uniform, comprehensive, and impartial agriculture data for every county in the nation. It looks at land use and ownership, operator characteristics, production practices, income and expenditures. Even small plots of land - whether rural or urban - growing fruit, vegetables or some food animals count if $1,000 or more of such products were raised and sold, or normally would have been sold, during the Census year.
  • The data are used by those who serve farmers and rural communities, including federal, state and local governments, agribusinesses, trade associations, and many others.

County Health Rankings

  • The model is from the University of Wisconsin Population Health Institute, that works to improve health outcomes for all and to close the health disparities between those with the most and least opportunities for good health.
  • The model uses measures from multiple data sources – see this page for specific datasets and years used. Particular measures were selected that are relevant to our work and their respective datasets are seen on the following maps: Community Economic Development, Nutrition, Youth, and Water.

US Census

  • The data is from the 2020 US Census.